-
Evolution of AWS AI/ML Stack
Tracing how the AWS AI/ML stack evolved from the 2017 SageMaker era into the age of generative and agentic AI with Amazon Bedrock, Unified SageMaker, Bedrock AgentCore, Foundation Models, and purpose-built AI infrastructure.
Read more -
Towards a better spend control on AWS
The case for hard spending limits in the age of cloud and SaaS sprawl. AWS is used by the biggest enterprises in the world, the smallest startups and teams, and even lone developers or students trying to learn. This post argues for better spend protection for individual AWS customers and businesses alike. It proposes three ideas -- hard spending caps at multiple levels, cost-aware API classification, and admin-enforceable service quotas.
Read more -
Evolution of Modern Data Architectures on AWS
Trace the technical evolution of data architectures on AWS, from early optimization patterns to modern analytics platforms.
Read more -
Data Engineering for Generative AI Applications on AWS
Explore a structured framework for the data handling needed to support different kinds of generative AI applications on AWS.
Read more -
New AI and ML Certifications from AWS
Raghuveer Varahagiri | Updated 11-Jun-2024 | This fall, AWS is launching two new certifications covering proficiency in AI use cases and ML engineering.
Read more -
Using Amazon ECR from CLI with AWS SSO
AWS CLI can be used to access ECR repositories, but it may be a bit confusing to get it to work the first time -- especially if you are using AWS SSO for authentication. Here's a step-by-step guide.
Read more